Name
Abstract | ||
|---|---|---|
In recent years, deep convolutional neural networks (CNNs) have achieved great success in Single Image Super-Resolution (SISR). Most existing networks for Super-Resolution (SR) concentrate on wider or deeper network designs, leading to neglect of the feature correlations of intermediate layers. In this letter, a novel Multilevel and Multiscale Network for SISR (M2SR) is presented. The proposed net... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LSP.2019.2952047 | IEEE Signal Processing Letters |
Keywords | DocType | Volume |
Feature extraction,Image reconstruction,Convolution,Correlation,Deconvolution,Kernel | Journal | 26 |
Issue | ISSN | Citations |
12 | 1070-9908 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David B. Skillicorn | 1 | 15 | 3.63 |
| Dongyang Zhang | 2 | 0 | 0.68 |
| Shuying Huang | 3 | 4 | 2.42 |
| Jiajun Wu | 4 | 0 | 0.68 |